Manager, Data Science, Model Risk Office

Capital One Financial

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Quick summary

Work type
On-site
Location
McLean, VA
Salary
$197,300–$225,100 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $211k
$154k $251k
below market most similar roles pay here above market

This role pays more than 60% of similar roles. Most pay $166,250–$241,984 — the blue band above. At the midpoint, this role pays about $211k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2232 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1142 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Manager, Data Science, Model Risk Office

Role Posting Log in to save

Manager, Data Science - Model Risk Office joins the Card Model Risk team to provide oversight and review of models used for underwriting flagship credit card products. Working within the Model Risk Office, you will partner with data scientists, software engineers, and product managers to ensure models are effectively governed and produce positive business outcomes. You will build machine learning models through all phases of development, including design, training, evaluation, validation, and implementation. The role requires leveraging a technical stack including Python, Conda, AWS, H2O, Spark, and relational databases to analyze large volumes of numeric and textual data. You must apply expertise in clustering, classification, sentiment analysis, time series, and deep learning to solve complex problems regarding model failures and risk management within the enterprise.

What does a Data Science Manager earn?

Median $211200 from 45 postings across 12 companies.

See salary data

Skills

Python AWS Spark H2O SQL Scala R Conda Relational Databases Machine Learning Deep Learning Time Series Sentiment Analysis Clustering Classification Statistical Modeling Big Data Data Analytics

What you'll do

  • Review and oversee models used for underwriting flagship credit card products.
  • Use modeling, statistical, and analytical tools to ensure models are effectively governed.
  • Build machine learning models through all phases of development, including design, training, and validation.
  • Leverage Python, AWS, Spark, and H2O to extract insights from large volumes of numeric and textual data.
  • Translate complex technical work into tangible business goals for stakeholders.
  • Research and evaluate emerging technologies and state-of-the-art methods for application.
  • Retrieve and combine data from a variety of sources and structures for analysis.

What we're looking for

  • Must have a Bachelor's in a quantitative field plus 6 years of data analytics experience, a Master's/MBA plus 4 years, or a PhD plus 1 year.
  • Must have at least 1 year of experience leveraging open source programming languages for large scale data analysis.
  • Must have at least 1 year of experience working with machine learning.
  • Must have at least 1 year of experience utilizing relational databases.
  • Must have experience with clustering, classification, sentiment analysis, time series, and deep learning.
  • Must have experience building, validating, and backtesting models and interpreting metrics like confusion matrices or ROC curves.
  • Must have experience with Python, Conda, AWS, H2O, Spark, and other cloud computing platforms.
  • Preferred: PhD in a STEM field plus 3 years of experience in data analytics.
  • Preferred: At least 1 year of experience working with AWS.
  • Preferred: At least 4 years of experience in Python, Scala, or R for large scale data analysis.
  • Preferred: At least 4 years of experience with machine learning.
  • Preferred: At least 4 years of experience with SQL.

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